Optimal Timing of Carbon Capture and Storage Policies Under Learning-by-doing

Amigues, Jean-Pierre, Lafforgue, Gilles and Moreaux, Michel (2014) Optimal Timing of Carbon Capture and Storage Policies Under Learning-by-doing. TSE Working Paper, n. 14-472, Toulouse

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Official URL: http://tse-fr.eu/pub/27920

Abstract

Using a standard Hotelling model of resource exploitation, we determine the optimal consumption paths of three energy resources: dirty coal, which is depletable and carbon-emitting; clean coal, which is also depletable but carbon-free thanks to an abatement technology (CCS: Carbon Capture and Storage), and solar energy which is renewable and carbon-free. Carbon emissions are released into the atmosphere and we assume that the atmospheric carbon stock cannot exceed a given ceiling. We consider learning-by-doing in the abatement technology, implying that the marginal CCS cost is decreasing in the cumulative consumption of clean coal. We show the following results. i) Learning-by-doing does not imply "early" capture, i.e. the clean coal exploitation must begin at the earliest once the carbon cap is reached. ii) The energy price path can evolve non-monotonically over time. iii) When the solar cost is low enough, there may exist unusual energy consumption sequence along which solar energy is interrupted for some time and replaced by clean coal.

Item Type: Monograph (Working Paper)
Language: English
Date: February 2014
Place of Publication: Toulouse
Uncontrolled Keywords: Climate change, Energy substitution, Carbon Capture and Storage, Learning-by-doing
JEL codes: Q31 - Demand and Supply
Q42 - Alternative Energy Sources
Q54 - Climate; Natural Disasters
Q55 - Technological Innovation
Subjects: B- ECONOMIE ET FINANCE
Divisions: TSE-R (Toulouse)
Institution: Université Toulouse 1 Capitole
Site: UT1
Date Deposited: 09 Jul 2014 17:42
Last Modified: 07 Mar 2018 13:22
OAI ID: oai:tse-fr.eu:27920
URI: http://publications.ut-capitole.fr/id/eprint/15834

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